Pervasive and Mobile Computing最新文献_第10页

Online continual learning for human activity recognition 人类活动识别的在线持续学习

IF 4.3 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2023-06-01 DOI: 10.1016/j.pmcj.2023.101817

Martin Schiemer, Lei Fang, Simon Dobson, Juan Ye

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引用次数: 0

IoT systems with multi-tier, distributed intelligence: From architecture to prototype 具有多层分布式智能的物联网系统:从架构到原型

IF 4.3 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2023-06-01 DOI: 10.1016/j.pmcj.2023.101818

Nada A. GabAllah, Ibrahim Farrag, Ramy Khalil, Hossam Sharara, T. Elbatt

引用次数: 0

Embedded federated learning over a LoRa mesh network 基于LoRa网状网络的嵌入式联邦学习

IF 4.3 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2023-06-01 DOI: 10.1016/j.pmcj.2023.101819

Nil Llisterri Giménez, J. M. Solé, Felix Freitag

引用次数: 0

SmartSPEC: A framework to generate customizable, semantics-based smart space datasets SmartSPEC:生成可定制的、基于语义的智能空间数据集的框架

IF 4.3 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2023-06-01 DOI: 10.1016/j.pmcj.2023.101809

Andrew Chio, Daokun Jiang, Peeyush Gupta, Georgios Bouloukakis, Roberto Yus, S. Mehrotra, N. Venkatasubramanian

引用次数: 0

Wireless power transfer with unmanned aerial vehicles: State of the art and open challenges 无人驾驶飞行器的无线电力传输:最新技术和公开挑战

IF 4.3 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2023-06-01 DOI: 10.1016/j.pmcj.2023.101820

Tamoghna Ojha , Theofanis P. Raptis , Andrea Passarella , Marco Conti

{"title":"Wireless power transfer with unmanned aerial vehicles: State of the art and open challenges","authors":"Tamoghna Ojha , Theofanis P. Raptis , Andrea Passarella , Marco Conti","doi":"10.1016/j.pmcj.2023.101820","DOIUrl":"https://doi.org/10.1016/j.pmcj.2023.101820","url":null,"abstract":"<div><p><span>Wireless power transfer (WPT) techniques are emerging as a fundamental component of next-generation </span>energy management<span><span> in mobile networks. In this context, the use of UAVs opens many possibilities, either using them as mobile </span>energy storage devices<span> to recharge IoT nodes, or to prolong their operation time via smart charging themselves at ground stations. This paper surveys the recent literature on WPT as it applies to UAVs and identifies several open research challenges for the future. As a first step, we tessellate the related research corpus in four fundamental categories (architectures, power and communications enabling technologies, optimization with respect to spatial concepts, optimization of operational aspects). Second, for each category, we provide a critical review of the recent WPT UAV approaches with respect to the way they specialize the general concept of WPT and the extent of their applicability. The survey presents the latest advances in WPT UAV methodologies and related energy-centric services, spanning all the way from the communications aspects deep in the small- and large-scale deployments, up to the operational and applications aspects. Finally, motivated by the rich conclusions of this critical analysis, we identify open challenges for future research. Our approach is horizontal, as the selected publications were drawn from across all vertical areas of research on UAVs. This paper can help the readers to deeply understand how WPT is currently applied to UAVs, and select interesting open research opportunities to pursue.</span></span></p></div>","PeriodicalId":49005,"journal":{"name":"Pervasive and Mobile Computing","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49740419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Balancing local vs. remote state allocation for micro-services in the cloud–edge continuum 平衡云边缘连续体中微服务的本地与远程状态分配

IF 4.3 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2023-06-01 DOI: 10.1016/j.pmcj.2023.101808

Carlo Puliafito , Claudio Cicconetti , Marco Conti , Enzo Mingozzi , Andrea Passarella

{"title":"Balancing local vs. remote state allocation for micro-services in the cloud–edge continuum","authors":"Carlo Puliafito , Claudio Cicconetti , Marco Conti , Enzo Mingozzi , Andrea Passarella","doi":"10.1016/j.pmcj.2023.101808","DOIUrl":"https://doi.org/10.1016/j.pmcj.2023.101808","url":null,"abstract":"<div><p>In the world of cloud technologies, serverless computing has now settled as a stable and promising resident. This gives a cloud provider the flexibility to provide its users with both Platform-as-a-Service (PaaS), i.e., the back-end application runs in a dedicated container, or Function-as-a-Service (FaaS), i.e., the back-end logic is offered as elementary functions that are invoked by the client applications. In parallel, edge computing has attracted a significant interest, due its enticing promises of reducing the outbound traffic of telco operators, while at the same time cutting down the user latency. As a result, in the near future, PaaS and FaaS containers are going to cohabit in a versatile computation infrastructure spanning from the far edge up to the cloud. In this paper we propose a mathematical formulation of a resource allocation problem that optimizes the assignment of both types of containers and can be solved efficiently by an edge orchestrator. We evaluate the proposed solution via extensive simulation experiments, which show that our approach, which takes into account the characteristics of PaaS vs. FaaS, provides significant performance benefits compared to less sophisticated strategies, despite its relatively low run-time complexity.</p></div>","PeriodicalId":49005,"journal":{"name":"Pervasive and Mobile Computing","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49740741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A cooperative MEC framework based on multi-UAV and AP to minimize weighted energy consumption 一种基于多无人机和AP的协同MEC框架，以最小化加权能耗

IF 4.3 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2023-06-01 DOI: 10.1016/j.pmcj.2023.101806

Qiang Tang, Chuan Liu, Linjiang Li, Shiming He, Jin Wang

引用次数: 0

CrowdWaterSens: An uncertainty-aware crowdsensing approach to groundwater contamination estimation CrowdWaterSens:一种不确定性感知的地下水污染评估方法

IF 4.3 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2023-05-01 DOI: 10.1016/j.pmcj.2023.101788

Lanyu Shang , Yang Zhang , Quanhui Ye , Shannon L. Speir , Brett W. Peters , Ying Wu , Casey J. Stoffel , Diogo Bolster , Jennifer L. Tank , Danielle M. Wood , Na Wei , Dong Wang

{"title":"CrowdWaterSens: An uncertainty-aware crowdsensing approach to groundwater contamination estimation","authors":"Lanyu Shang , Yang Zhang , Quanhui Ye , Shannon L. Speir , Brett W. Peters , Ying Wu , Casey J. Stoffel , Diogo Bolster , Jennifer L. Tank , Danielle M. Wood , Na Wei , Dong Wang","doi":"10.1016/j.pmcj.2023.101788","DOIUrl":"https://doi.org/10.1016/j.pmcj.2023.101788","url":null,"abstract":"<div><p>Groundwater contamination poses serious threats to public health and environmental sustainability. In this paper, we explore <em>smart groundwater contamination sensing</em><span>, which aims to accurately estimate the nitrate concentration in groundwater via a crowdsensing approach. Existing solutions often require professional groundwater collection and high-quality measurement of groundwater properties, making the data collection process time-consuming and unscalable. In this work, we leverage the approximate nitrate concentration measured by crowd sensors (i.e., participants from well-dependent communities) to accurately estimate nitrate concentration in groundwater samples. Three critical challenges exist in developing the crowdsensing-based groundwater contamination estimation solution: (i) the spatial irregularity of the crowdsensing groundwater contamination data, (ii) the hidden temporal dependency of groundwater contamination in the anthropogenic context, and (iii) the uncertainty of crowdsensing nitrate measurements from crowd sensors. To address the above challenges, we develop CrowdWaterSens, an uncertainty-aware graph neural network framework that explicitly examines the uncertainty and spatial irregularity of the crowdsensing groundwater contamination data and its relevant anthropogenic context to accurately estimate groundwater nitrate concentration. We evaluate the CrowdWaterSens framework through two real-world case studies in well-dependent communities in Northern Indiana, United States. The evaluation results not only show the effectiveness of CrowdWaterSens in accurately estimating nitrate concentration, but also demonstrate the viability of crowdsensing for community-level groundwater quality monitoring.</span></p></div>","PeriodicalId":49005,"journal":{"name":"Pervasive and Mobile Computing","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49740742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A cooperative MEC framework based on multi-UAV and AP to minimize weighted energy consumption 一种基于多无人机和AP的协同MEC框架，以最小化加权能耗

IF 4.3 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2023-05-01 DOI: 10.1016/j.pmcj.2023.101806

Q. Tang, Chuanbo Liu, Linjiang Li, Shiming He, Jin Wang

引用次数: 0

Studying users’ perception of IoT mobile companion apps 研究用户对物联网移动配套应用的感知

IF 4.3 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2023-05-01 DOI: 10.1016/j.pmcj.2023.101786

Gian Luca Scoccia , Romina Eramo , Marco Autili

{"title":"Studying users’ perception of IoT mobile companion apps","authors":"Gian Luca Scoccia , Romina Eramo , Marco Autili","doi":"10.1016/j.pmcj.2023.101786","DOIUrl":"https://doi.org/10.1016/j.pmcj.2023.101786","url":null,"abstract":"<div><p>Internet of Things (IoT) products provide over-the-net capabilities such as remote activation, monitoring, and notifications. An associated mobile app is often provided for more convenient usage of these capabilities. The perceived quality of these <em>companion apps</em> can impact the success of the IoT product. We investigate the perceived quality and prominent issues of smart-home IoT mobile companion apps with the aim of deriving insights to: (i) provide guidance to end users interested in adopting IoT products; (ii) inform companion app developers and IoT producers about characteristics frequently criticized by users; (iii) highlight open research directions. We employ a mixed-methods approach, analyzing both quantitative and qualitative data. We assess the perceived quality of companion apps by quantitatively analyzing the star rating and the sentiment of 1,347,799 Android and 48,498 iOS user reviews. We identify the prominent issues that afflict companion apps by performing a qualitative manual analysis of 1,000 sampled reviews. Our analysis shows that users’ judgment has not improved over the years. A variety of functional and non-functional issues persist, such as difficulties in pairing with the device, software flakiness, poor user interfaces, and presence of issues of a socio-technical impact. Our study highlights several aspects of companion apps that require improvement in order to meet user expectations and identifies future directions.</p></div>","PeriodicalId":49005,"journal":{"name":"Pervasive and Mobile Computing","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49740797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0